# workout-app

> workout-app — pierretsia-workout-app. Use this tool when you need to track and manage your workouts efficiently, solving problems like disorganized exercise routines and lack of progress monitoring. It provides an offline-first interface to input workout data and outputs personalized tracking and analysis, utilizing a secure and reliable Supabase backend. Ideal for fitness enthusiasts and athletes seeking a structured approach to their training regimens.

Canonical page: https://skillsregistry.net/skills/pierretsia-workout-app  
JSON: https://api.skillsregistry.net/v1/skills/pierretsia-workout-app

## Description

MCP-native workout tracker. Your AI agent (Claude, Cursor, …) writes the program; you lift. Open-source, ~1,500 tests, offline-first PWA, Supabase + RLS.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/PierreTsia/workout-app)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pierretsia-workout-app"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pierretsia-workout-app` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pierretsia-workout-app/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt